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Anan, Japan

Miyamoto H.,Miyamoto Hospital | Miyamoto H.,Tokushima University | Asanoma M.,Miyamoto Hospital | Asanoma M.,Tokushima University | And 4 more authors.
Colorectal Disease | Year: 2013

Aim: The purpose of this study was to demonstrate the distribution of haemorrhoidal arteries and the relationship between vascularity and growth of haemorrhoids. Method: One-hundred and three patients with haemorrhoids were studied. Using power Doppler imaging (PDI) transanal ultrasound and three-dimensional power Doppler angiography (3D-PDA), the course of the arteries supplying the haemorrhoids was identified. Measurement of the PDI area was made using the cursor to outline the power Doppler signal of the haemorrhoid, approximately 1 cm above the dentate line. Results: The haemorrhoidal arteries were seen as branches of the superior rectal artery and were detected in 75.7, 71.8, 68.0 and 62.1% of the 11, 7, 3 and 1 o'clock positions in the lithotomy position. The median number of haemorrhoidal arteries significantly increased from three to six with progression of the Goligher classification from Grade 1 to Grade 4 (P < 0.0001). The PDI areas in Grades 1, 2, 3 and 4 were 0.04 ± 0.03, 0.18 ± 0.07, 0.38 ± 0.18 and 0.96 ± 0.32 cm2 (P < 0.05). Conclusion: The distribution of haemorrhoidal arteries varies widely in both number and position. Using PDI transanal ultrasonography and 3D-PDA it was possible to visualize the haemorrhoid plexus and the course of the haemorrhoidal artery in vivo. Colorectal Disease © 2013 The Association of Coloproctology of Great Britain and Ireland. Source

Ogushi Y.,Tokushima University | Eguchi H.,Tokushima University | Kuwahara T.,Tokushima University | Hayabuchi N.,Eye Clinic Josanjima | Kawabata M.,Anan Kyoei Hospital
Japanese Journal of Ophthalmology | Year: 2010

Purpose: To elucidate the reservoirs of Pseudomonas aeruginosa keratitis associated with contact lens (CL) wear by using a molecular genotyping method. Method: Ten P. aeruginosa isolates obtained from two young adult patients with infectious keratitis associated with CL wear were studied. These were isolated from corneal specimens, conjunctival swabs, discharges, CL storage cases, and the living environment of the two patients. Species identification was performed with an Oxi/Ferm Tube II system using well-separated colonies on MacConkey and NAC agar plates. We employed molecular genotyping by pulsed-field gel electrophoresis. Results: We isolated three (one each from a corneal scraping, discharge, and a CL storage case) P. aeruginosa samples from patient 1, and seven (one each from the conjunctival swab, CL storage case, and the patient's fingers, and four from the patient's room) from patient 2. Pseudomonas aeruginosa of environmental origin could not be obtained from the house of patient 1. The genotypes of two P. aeruginosa isolates, from corneal scraping and discharge, were identical to that of the isolate from the CL storage case belonging to patient 1. In patient 2, the isolates from the eye and the CL storage case showed the identical genotype, which was different from those of the environmental isolates. Conclusion: Our results suggest that the causative P. aeruginosa strains in cases of infectious keratitis associated with CL wear originate in contaminated CL storage cases. However, it is still unclear whether the environmental strains in the patients' houses also cause keratitis. © 2010 Japanese Ophthalmological Society (JOS). Source

Yoshida S.,Tokushima University | Aihara K.-I.,Tokushima University | Azuma H.,Anan Kyoei Hospital | Uemoto R.,Tokushima University | And 12 more authors.
Atherosclerosis | Year: 2010

Background: Dehydroepiandrosterone sulfate (DHEAS) is thought to be associated with life expectancy and anti-aging. However, its biological significance in atherosclerosis remains controversial. Therefore, the aim of this study was to determine whether DHEAS is associated with development of carotid atherosclerosis in subjects with cardiovascular risk factors. Subjects and methods: A total of 419 Japanese individuals (208 males and 211 females) were recruited from Tokushima University Hospital, Japan. In all subjects, maximum intima-media thickness (max-IMT) in all carotid arteries, and mean-IMT and mean blood flow volume (BFV) in the common carotid arteries (CCA) were measured by ultrasonography; endothelial function was assessed by flow-mediated vasodilation of the brachial artery (%FMD). Serum DHEAS and classical cardiovascular risk factors were also evaluated. Statistical significance was determined by multiple regression analysis to elucidate independent determinants of max-IMT, mean-IMT, mean CCA-BFV, and %FMD. Results: Serum DHEAS levels were higher in males than in females. Multiple regression analysis revealed that DHEAS was an independent negative factor for both max-IMT and mean-IMT in males but not in females. In contrast, DHEAS was the sole positive factor for mean CCA-BFV in females but not in males. In addition, there was no significant relationship between %FMD and DHEAS regardless of sex and other confounding factors. Conclusion: Although DHEAS is not involved in endothelial function, DHEAS is inversely associated with sex-dependent diverse carotid atherosclerosis such as increased max-IMT and mean-IMT in males and decreased CCA-BFV in females. © 2010 Elsevier Ireland Ltd. Source

Nonaka R.,Tokushima University | Emoto T.,Tokushima University | Abeyratne U.R.,Queensland University of Technology | Jinnouchi O.,Anan Kyoei Hospital | And 5 more authors.
Biomedical Signal Processing and Control | Year: 2016

One of humans' auditory abilities is differentiation between sounds with slightly different frequencies. Recently, the auditory image model (AIM) was developed to numerically explain this auditory phenomenon. Acoustic analyses of snore sounds have been performed recently by using non-contact microphones. Snore/non-snore classification techniques have been required at the front-end of snore analyses. The performances of sound classification methods can be evaluated based on human hearing, which is considered to be the gold standard. In this paper, we propose a novel method of automatically extracting snore sounds from sleep sounds by using an AIM-based snore/non-snore classification system. We report that the proposed automatic classification method could achieve a sensitivity of 97.2% and specificity of 96.3% when analyzing snore and non-snore sounds from 40 subjects. It is anticipated that our findings will contribute to the development of an automated snore analysis system to be used in sleep studies. © 2016 Elsevier Ltd. All rights reserved. Source

Emoto T.,Tokushima University | Abeyratne U.R.,Queensland University of Technology | Kusumoto T.,Tokushima University | Akutagawa M.,Tokushima University | And 5 more authors.
Transactions of Japanese Society for Medical and Biological Engineering | Year: 2010

Snoring is the earliest and the most common symptom of Obstructive Sleep Apnea (OSA). Quantitative analysis of snoring, however, is not used at present in the clinical diagnosis of the disease. Several researchers have reported differences in the formant frequencies of Apneic and benign snoring sounds (SS) based on linear prediction coding (LPC) analysis. However, SS is complex signal and at local low signal to noise ratio (SNR). This signal complexity should reduce the accuracy of formant estimation. In this paper, we propose a novel approach to the diagnosis of OSA based on the formants of SSs, extracted via a noise-robust linear prediction technique. The proposed method and existing LPC-based method are compared via a measure, a which indicates the standard deviation of first formant frequencies. The performance of the proposed method was evaluated on a database of clinical snoring sounds recorded overnight in the laboratory of a hospital sleep diagnostic center. Compared with existing LPC-based method, we show that the proposed method can differentiate (sensitivity: 88.9%, specificity: 88.9%, AUC: 0.85) between benign snoring (Apnea Hypopnea Index, AHI = 6.0 ± 3.2 event/h; 6188 episodes) and apneic snoring (AHI = 40.7 ± 20.2 event/h; 14066 episodes). Source

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